79 lines
2.4 KiB
JavaScript
79 lines
2.4 KiB
JavaScript
import { factory } from '../../utils/factory.js';
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import { createMatAlgo03xDSf } from '../../type/matrix/utils/matAlgo03xDSf.js';
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import { createMatAlgo07xSSf } from '../../type/matrix/utils/matAlgo07xSSf.js';
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import { createMatAlgo11xS0s } from '../../type/matrix/utils/matAlgo11xS0s.js';
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import { createMatAlgo12xSfs } from '../../type/matrix/utils/matAlgo12xSfs.js';
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import { createMatrixAlgorithmSuite } from '../../type/matrix/utils/matrixAlgorithmSuite.js';
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var name = 'dotPow';
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var dependencies = ['typed', 'equalScalar', 'matrix', 'pow', 'DenseMatrix', 'concat', 'SparseMatrix'];
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export var createDotPow = /* #__PURE__ */factory(name, dependencies, _ref => {
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var {
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typed,
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equalScalar,
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matrix,
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pow,
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DenseMatrix,
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concat,
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SparseMatrix
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} = _ref;
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var matAlgo03xDSf = createMatAlgo03xDSf({
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typed
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});
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var matAlgo07xSSf = createMatAlgo07xSSf({
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typed,
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SparseMatrix
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});
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var matAlgo11xS0s = createMatAlgo11xS0s({
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typed,
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equalScalar
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});
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var matAlgo12xSfs = createMatAlgo12xSfs({
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typed,
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DenseMatrix
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});
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var matrixAlgorithmSuite = createMatrixAlgorithmSuite({
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typed,
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matrix,
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concat
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});
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var powScalarSignatures = {};
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for (var signature in pow.signatures) {
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if (Object.prototype.hasOwnProperty.call(pow.signatures, signature)) {
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if (!signature.includes('Matrix') && !signature.includes('Array')) {
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powScalarSignatures[signature] = pow.signatures[signature];
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}
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}
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}
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var powScalar = typed(powScalarSignatures);
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/**
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* Calculates the power of x to y element wise.
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*
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* Syntax:
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*
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* math.dotPow(x, y)
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*
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* Examples:
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*
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* math.dotPow(2, 3) // returns number 8
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*
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* const a = [[1, 2], [4, 3]]
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* math.dotPow(a, 2) // returns Array [[1, 4], [16, 9]]
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* math.pow(a, 2) // returns Array [[9, 8], [16, 17]]
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*
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* See also:
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*
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* pow, sqrt, multiply
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*
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* @param {number | BigNumber | Complex | Unit | Array | Matrix} x The base
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* @param {number | BigNumber | Complex | Unit | Array | Matrix} y The exponent
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* @return {number | BigNumber | Complex | Unit | Array | Matrix} The value of `x` to the power `y`
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*/
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return typed(name, matrixAlgorithmSuite({
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elop: powScalar,
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SS: matAlgo07xSSf,
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DS: matAlgo03xDSf,
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Ss: matAlgo11xS0s,
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sS: matAlgo12xSfs
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}));
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}); |